Patent Issued for Personalized health system, method and device having a nutrition function (USPTO 11694778): Vydiant Inc.

2023 JUL 26 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Carlone, Terry (Sacramento, CA, US), Green, John (Burke, VA, US), Kaput, James (Madison, WI, US), Morine, Melissa (Avonport, CA), Priami, Corrado (Follonica, IT), filed on March 25, 2022, was published online on July 4, 2023.

The assignee for this patent, patent number 11694778, is Vydiant Inc. (Folsom, California, United States).

Reporters obtained the following quote from the background information supplied by the inventors: “Health and disease research over the past one hundred years was largely based on reductionist experimental approaches which tested a single variable while holding all other variables constant. This methodology served science and society well, dramatically improving health and longevity. In spite of these advances, multifactorial diseases like obesity, diabetes, and other chronic diseases have become near-epidemics across the world, indicating that reductionistic strategies provide incomplete solutions. The critical concept overlooked from health research and applications is that health results from interactions of multiple in-the-body molecules and processes and many external factors that include nutrition/diet, physical activity/exercise, social activity, and environment while disease results from dysfunctions of one or more interacting processes among these scales. The interaction of the internal and external processes produces emergent (unexpected) properties of the separate macro and micro systems. However, applying these concepts experimentally or directly to the real world has not happened-economic and other disincentives and challenges have deterred integration of knowledge across these different sectors. In addition, it is only recently that advances in artificial intelligence and machine learning, and increases in “big data” computing capacity, have made it possible to harness the large volumes of data involved in digesting and analyzing immensely complex matrices of information interconnected across multiple scales and multiple morbidities.”

In addition to obtaining background information on this patent, NewsRx editors also obtained the inventors’ summary information for this patent: “A personal health system, method and device that maintains a health knowledge base, inputs user characteristics, generates health scores based on the user characteristics and provides recommendations based on the user characteristics, health scores and knowledge base, wherein the recommendations are indicated by the knowledge base to be likely to improve the user’s health scores.

“A first aspect is directed to a personal health system for promoting healthy choices to one or more users. The personal health system comprises at least one computing device including a processor and a non-transitory computer-readable medium coupled with the processor and storing a personal health platform having a user interface, wherein when executed by the processor the personal health platform is operable to provide a user input module that guides a user to input personal characteristics of the user, the personal characteristics of the user including intake values for a plurality of food types over a predetermined period, the intake values including a vegetable intake value, a fruit intake value, a dairy intake value, a whole grain intake value, a refined grain intake value, a meat/egg intake value, a seafood intake value and an oil intake value, and the food types including vegetables, fruit, dairy, whole grain, refined grain, meat/eggs, seafood and oil, the personal characteristics of the user further including an alcohol intake value and a caffeine intake value, determine a total food score for each of the food types based on an intake score for the food type and an extra food penalty for the food type, wherein the intake score is based on the intake value of the food type input by the user divided by a predetermined optimal intake value for the food type, determine an alcohol penalty and a caffeine penalty based on the alcohol intake and the caffeine intake and determine and present a nutrition score for the user based on a combination of the total food scores for each of the food types minus the alcohol penalty and the caffeine penalty.

“In some embodiments, the personal health platform is operable to determine a quantity of free calories of the user based on a difference between a total intake value of the user and intakes needs value of the user, wherein the total intake value is a sum of the vegetable intake value, the fruit intake value, the dairy intake value, the whole grain intake value, the refined grain intake value, the meat/egg intake value, the seafood intake value and the oil intake value. In some embodiments, the personal health platform is operable to allocate portions of the quantity of free calories to one or more of the food types, wherein the size of the portion allocated to the food type is identified as a tolerance value of the food type. In some embodiments, the quantity of free calories are allocated to the one or more of the food types based on a set of distribution percentages that indicate a percentage of the quantity of free calories to allocate to each of the food types.

“In some embodiments, the personal health platform is operable to determine an extra food value for each of the food types based on a difference between the intake value of that food type and a sum of the predetermined optimum intake value of the food type and the tolerance value of the food type. In some embodiments, the personal health platform is operable to determine the extra food penalty value for each of the food types based on a penalty factor multiplied by the extra food value for the food type divided by the predetermined optimum intake value for the food type. In some embodiments, the intake needs value is a based on a physical activity level of the user. In some embodiments, the personal characteristics include a life stage of the user selected from a group consisting of: child, adolescent, adult, elderly, pregnant and lactating. In some embodiments, the personal health platform is operable to determine the caffeine penalty based on whether the caffeine intake exceeds a caffeine threshold associated with the life stage of the user. In some embodiments, the personal health platform is operable to determine the alcohol penalty based on whether the alcohol intake exceeds an alcohol threshold associated with the life stage of the user.

“A second aspect is directed to a non-transitory computer-readable medium storing a personal health platform for promoting healthy choices to one or more users, wherein when executed by a processor the personal health platform is operable to provide a user input module that guides a user to input personal characteristics of the user, the personal characteristics of the user including intake values for a plurality of food types over a predetermined period, the intake values including a vegetable intake value, a fruit intake value, a dairy intake value, a whole grain intake value, a refined grain intake value, a meat/egg intake value, a seafood intake value and an oil intake value, and the food types including vegetables, fruit, dairy, whole grain, refined grain, meat/eggs, seafood and oil, the personal characteristics of the user further including an alcohol intake value and a caffeine intake value, determine a total food score for each of the food types based on an intake score for the food type and an extra food penalty for the food type, wherein the intake score is based on the intake value of the food type input by the user divided by a predetermined optimal intake value for the food type, determine an alcohol penalty and a caffeine penalty based on the alcohol intake and the caffeine intake and determine and present a nutrition score for the user based on a combination of the total food scores for each of the food types minus the alcohol penalty and the caffeine penalty.”

The claims supplied by the inventors are:

“1. A personal health system for promoting healthy choices to one or more users, the personal health system comprising: at least one computing device including a processor and a non-transitory computer-readable medium coupled with the processor and storing a personal health platform having a user interface, wherein when executed by the processor the personal health platform is operable to: generate a graphical user interface on the device that provides a series of digital prompts guiding a user to input personal characteristics of the user, the personal characteristics of the user including intake values for a plurality of food types over a predetermined period, the intake values including a vegetable intake value, a fruit intake value, a dairy intake value, a whole grain intake value, a refined grain intake value, a meat/egg intake value, a seafood intake value and an oil intake value, and the food types including vegetables, fruit, dairy, whole grain, refined grain, meat/eggs, seafood and oil, the personal characteristics of the user further including an alcohol intake value and a caffeine intake value; store a user profile for the user on the non-transitory computer-readable medium of the device, the user profile comprising: a total food score for each of the food types that is based on an intake score for the food type and an extra food penalty for the food type, wherein the intake score is based on the intake value of the food type input by the user divided by a predetermined optimal intake value for the food type; an alcohol penalty that is based on the alcohol intake and a caffeine penalty that is based on the caffeine intake; and a nutrition score for the user that is based on a combination of the total food scores for each of the food types minus the alcohol penalty and the caffeine penalty.

“2. The personal health system of claim 1, wherein the personal health platform is operable to determine a quantity of free calories of the user based on a difference between a total intake value of the user and intakes needs value of the user, wherein the total intake value is a sum of the vegetable intake value, the fruit intake value, the dairy intake value, the whole grain intake value, the refined grain intake value, the meat/egg intake value, the seafood intake value and the oil intake value.

“3. The personal health system of claim 2, wherein the personal health platform is operable to allocate portions of the quantity of free calories to one or more of the food types, wherein the size of the portion allocated to the food type is identified as a tolerance value of the food type.

“4. The personal health system of claim 3, wherein the quantity of free calories are allocated to the one or more of the food types based on a set of distribution percentages that indicate a percentage of the quantity of free calories to allocate to each of the food types.

“5. The personal health system of claim 4, wherein the personal health platform is operable to determine an extra food value for each of the food types based on a difference between the intake value of that food type and a sum of the predetermined optimum intake value of the food type and the tolerance value of the food type.

“6. The personal health system of claim 5, wherein the personal health platform is operable to determine the extra food penalty value for each of the food types based on a penalty factor multiplied by the extra food value for the food type divided by the predetermined optimum intake value for the food type.

“7. The personal health system of claim 6, wherein the intake needs value is a based on a physical activity level of the user.

“8. The personal health system of claim 7, wherein the personal characteristics include a life stage of the user selected from a group consisting of: child, adolescent, adult, elderly, pregnant and lactating.

“9. The personal health system of claim 8, wherein the personal health platform is operable to determine the caffeine penalty based on whether the caffeine intake exceeds a caffeine threshold associated with the life stage of the user.

“10. The personal health system of claim 9, wherein the personal health platform is operable to determine the alcohol penalty based on whether the alcohol intake exceeds an alcohol threshold associated with the life stage of the user.

“11. The personal health system of claim 10, wherein the alcohol penalty is based an alcohol factor value multiplied by a difference value, wherein the difference value is equal to the alcohol intake minus the alcohol threshold.

“12. A non-transitory computer-readable medium storing a personal health platform for promoting healthy choices to one or more users, wherein when executed by a processor the personal health platform is operable to: generate a graphical user interface on the device that provides a series of digital prompts guiding a user to input personal characteristics of the user, the personal characteristics of the user including intake values for a plurality of food types over a predetermined period, the intake values including a vegetable intake value, a fruit intake value, a dairy intake value, a whole grain intake value, a refined grain intake value, a meat/egg intake value, a seafood intake value and an oil intake value, and the food types including vegetables, fruit, dairy, whole grain, refined grain, meat/eggs, seafood and oil, the personal characteristics of the user further including an alcohol intake value and a caffeine intake value; store a user profile for the user on the non-transitory computer-readable medium, the user profile comprising: a total food score for each of the food types that is based on an intake score for the food type and an extra food penalty for the food type, wherein the intake score is based on the intake value of the food type input by the user divided by a predetermined optimal intake value for the food type; an alcohol penalty that is based on the alcohol intake and a caffeine penalty that is based on the caffeine intake; and a nutrition score for the user that is based on a combination of the total food scores for each of the food types minus the alcohol penalty and the caffeine penalty.

“13. The non-transitory computer-readable medium of claim 12, wherein the personal health platform is operable to determine a quantity of free calories of the user based on a difference between a total intake value of the user and intakes needs value of the user, wherein the total intake value is a sum of the vegetable intake value, the fruit intake value, the dairy intake value, the whole grain intake value, the refined grain intake value, the meat/egg intake value, the seafood intake value and the oil intake value.

“14. The non-transitory computer-readable medium of claim 13, wherein the personal health platform is operable to allocate portions of the quantity of free calories to one or more of the food types, wherein the size of the portion allocated to the food type is identified as a tolerance value of the food type.

“15. The non-transitory computer-readable medium of claim 14, wherein the quantity of free calories are allocated to the one or more of the food types based on a set of distribution percentages that indicate a percentage of the quantity of free calories to allocate to each of the food types.

“16. The non-transitory computer-readable medium of claim 15, wherein the personal health platform is operable to determine an extra food value for each of the food types based on a difference between the intake value of that food type and a sum of the predetermined optimum intake value of the food type and the tolerance value of the food type.

“17. The non-transitory computer-readable medium of claim 16, wherein the personal health platform is operable to determine the extra food penalty value for each of the food types based on a penalty factor multiplied by the extra food value for the food type divided by the predetermined optimum intake value for the food type.

“18. The non-transitory computer-readable medium of claim 17, wherein the intake needs value is a based on a physical activity level of the user.

“19. The non-transitory computer-readable medium of claim 18, wherein the personal characteristics include a life stage of the user selected from a group consisting of: child, adolescent, adult, elderly, pregnant and lactating.

“20. The non-transitory computer-readable medium of claim 19, wherein the personal health platform is operable to determine the caffeine penalty based on whether the caffeine intake exceeds a caffeine threshold associated with the life stage of the user.

“21. The non-transitory computer-readable medium of claim 20, wherein the personal health platform is operable to determine the alcohol penalty based on whether the alcohol intake exceeds an alcohol threshold associated with the life stage of the user.”

There are additional claims. Please visit full patent to read further.

For more information, see this patent: Carlone, Terry. Personalized health system, method and device having a nutrition function. U.S. Patent Number 11694778, filed March 25, 2022, and published online on July 4, 2023. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11694778)&db=USPAT&type=ids

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